DeTrAck: UAV Detection and Tracking Using Neural Networks Ensemble on Surveillance Systems

Unmanned aerial vehicles (UAVs) are increasingly deployed in critical environments (e.g., borders, airports), where real-time detection and tracking remain challenging due to small target size, complex backgrounds, long ranges, and resource constraints. We present DeTrAck, a non-invasive UAV monitor...

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Autors principals:	Trandafir-Liviu Serghei, Dan Popescu
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Object detection object tracking UAV convolutional neural networks ensemble learning decision fusion
Accés en línia:	https://ieeexplore.ieee.org/document/11321102/
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